Fractal Analysis of Non-Solid Pulmonary Nodules in Lung-CT Scans

We have developed a fractal algorithm to supplement the current analysis in lung-CT scans on non-solid pulmonary nodule. The Cornell University Lung-CT Scans database and the US National Institute of Health ImageJ software were used. We found that the inner core average intensity could be a marker for the fractal dimension of a non-solid nodule. Z-scan image analysis of the adjacent boundaries showed that the fractal dimension has a range of about 0.1 in the studied cases. Extension of this proof-of-concept fractal analysis to growth rate estimation is also discussed.